Skip to content

Search Archives

Search tips
from:Name Search by author name, e.g. from:Duncan Murdoch "exact phrase" Match an exact phrase word1 word2 Match messages containing both words Date range Use the date pickers to filter results to a time period

Use the list dropdown to narrow results to a specific mailing list. Combine from: with other terms to filter by author and content.

7 results for “from:Hagen Schmöller”

adjusting a periodical function to a time series
Hagen Schmöller · Mar 19, 2003 · r-help

Hi R-Community, is there a possibility to adjust a periodical function like s(t) = a1 sin(f1 t) + b1 cos(f1 t) + a2 sin(f2 t) + b2 cos(f2 t) + ... to a time series with R, if necessary with...

Multivariate ARMA Model
Hagen Schmöller · Jul 25, 2004 · r-help

Hi R-Community, so far I dealt with univariate processes and used the function "arima" to estimate an ARMA(1,1)-model. For multivariate processes there are the functions "estVARXar" and "estVARXls" from package "DSE". But how can I estimate...

DSE: covariance of white noise
Hagen Schmöller · Sep 21, 2004 · r-help

Hi R-Community, I estimated a VARMA model with bft in dse1 without input: A(L)yt = B(L)et I got the auto-regressive polynomial array A and the moving-average polynomial array B, but how can I access...

Estimating Weibull parameters
Hagen Schmöller · Aug 6, 2002 · r-help

Hi R-Community, I have a vector of Weibull distributed observations and I would like to estimate the parameters "shape" and "scale" of the Weibull distribution. Is there a way to do this in R? Much thanks in advance, Hagen...

Season Determination
Hagen Schmöller · Mar 17, 2003 · r-help

Hi R-Community, I have an historical time series of power prices and would like to determine the daily and yearly seasonal component for forecast purposes. Unfortunately the functions "decompose" and "stl" do not provide an always identical repeating seasonal...

Estimating parameters of a linear model
Hagen Schmöller · Sep 5, 2002 · r-help

Hi R-Community, I have two correlated time series X[t] and Y[t]. X[t] can be modeled as X[t] = a[1]X[t-1] + a[2]X[t-2] + e[t] + b[1]e[t-1] + b...

TS-library
Hagen Schmöller · Jul 24, 2002 · r-help

Hello, I am trying to get a library for statistical computing. For example, I have to compute the ARIMA parameters of time series and I?d like to do that out of my C/C++ or Fortran source code. The...

Can't find what you're looking for? Try searching with Google .